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Probability

Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

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Page 1: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

Probability

Page 2: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes.

Event- an experiment where there is an outcome Outcome- a result of an experiment Independent Event- an event to which the

result is in no way affected by other events Dependent Event- an event where the outcome

depends or is affected by the outcome of another event.

Key Terms

Page 3: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

◦ The probability of an impossibility is 0

◦ The probability of a certainty is 1

Probability is always a number between 0 and 1

Page 4: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

The probability that an event will not occur is just

1 – the probability that the event will occur.

The sum of the probabilities of all outcomes of an event is always 1

Page 5: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

To convert from fraction to a decimal

divide the numerator by the denominator

(round if necessary)

2/3 = 2 ÷ 3 = .67

Probability can be written as a fraction or as a decimal

Page 6: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

Also called “experiments” Examples:

◦ Flip a coin◦ Draw a random card◦ Choose a random marble, sock, book

Events

Page 7: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

(also called “results”) Examples:

◦ Heads◦ Ace of Hearts◦ Green marble◦ Red sock◦ “Cat in the Hat”

Outcomes

Page 8: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

List of the possible outcomes (no duplicates)

Examples:◦ For a coin toss: {heads, tails}◦ To choose from a bag of marbles with 2 red

marbles, 4 blue marbles, and one yellow marble, {red, blue, yellow}

Sample Space

Page 9: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

P(E) =

Probability of drawing a jack from a standard

deck of cards = number of jacks in a deck = 4 = 1 number of cards in a deck 52 13

Probability of an Event

Page 10: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

number of red 10’s in a deck = 2 = 1number of cards in a deck 52 26

Probability of drawing a red 10 from a deck of cards

Page 11: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

number of red cards in a deck = 26 = 1number of cards in a deck 52 2

Probability of drawing a red card from a deck of cards

Page 12: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

= number of Aces of Hearts in a deck = 1 number of cards in a deck

52

Probability of drawing an Ace of Hearts from a standard

deck of cards

Page 13: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

To find the probability of multiple independent events, multiply the probabilities of each event together.

Key Facts

Page 14: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

To find the probability of multiple dependent events, multiply the probabilities of each event together considering the dependence.

Key Facts

Page 15: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

Multiplication Rule 2:  When two events, A and B, are dependent, the probability of both occurring is: 

Conditional Probbility

Page 16: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

The conditional probability of an event B in relationship to an event A is the probability that event B occurs given that event A has already occurred. The notation for conditional probability is P(B|A), read as the probability of B given A.

Conditional Probability

Page 17: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

A jar contains black and white marbles. Two marbles are chosen without replacement. The probability of selecting a black marble and then a white marble is 0.34, and the probability of selecting a black marble on the first draw is 0.47. What is the probability of selecting a white marble on the second draw, given that the first marble drawn was black?

Example 1

Page 18: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

The probability that it is Friday and that a student is absent is 0.03. Since there are 5 school days in a week, the probability that it is Friday is 0.2. What is the probability that a student is absent given that today is Friday?

Example 2

Page 19: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

At Kennedy Middle School, the probability that a student takes Technology and Spanish is 0.087. The probability that a student takes Technology is 0.68. What is the probability that a student takes Spanish given that the student is taking Technology?

Example 3

Page 20: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes
Page 21: Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes

Value between 0 and 1

Wins/Total Outcomes

Usually expressed as a fraction or decimal

Any positive number or 0

Wins/Losses (Odds For)or Losses/Wins (Odds Against) Usually expressed

as a ratio

Probability versus Odds